Determining Specifics of 20:80 Rule (Pareto)

  • Context: Undergrad 
  • Thread starter Thread starter WWGD
  • Start date Start date
Click For Summary
SUMMARY

The Pareto Principle, or 20:80 rule, asserts that 20% of inputs often lead to 80% of outputs in various contexts, such as customer revenue and problem complaints. However, determining when this distribution applies is not straightforward; it requires analyzing specific data sets to identify potential 20:80 relationships. There are no definitive tools or formulas to predict its applicability in advance, making it primarily a heuristic approach. Users must evaluate each scenario individually to ascertain whether the Pareto distribution holds true.

PREREQUISITES
  • Understanding of statistical analysis methods
  • Familiarity with data visualization tools
  • Knowledge of customer segmentation techniques
  • Experience with problem-solving frameworks
NEXT STEPS
  • Research statistical methods for analyzing data distributions
  • Learn how to use data visualization tools like Tableau or Power BI
  • Explore customer segmentation strategies to identify key revenue drivers
  • Study problem-solving frameworks such as Root Cause Analysis (RCA)
USEFUL FOR

Data analysts, business strategists, and operations managers seeking to optimize resource allocation and improve decision-making based on the Pareto Principle.

WWGD
Science Advisor
Homework Helper
Messages
7,777
Reaction score
13,013
Hi,
The 20:80 , aka Pareto rule applies in certain processes. Pareto states that in some cases,
20 percent of the input generates 80% of the output (obviously not intended to be exactly
20 and 80). Example: 20% of customers generate 80% of the revenues , or 20% of a list of
problems in an operating system generate 80% of customer complaints, or 20% of the population
owns 80% of assets.
Anyway, my question is on how do determine if/when the Pareto distribution applies to a given
situation , or if there are some general results on how to apply it.
EDIT: I am trying to understand the type of data one would have to look at and, given the data, how one
can "tease out" from the data whether there is a 20-80 relation.
Thanks.
 
Last edited:
Physics news on Phys.org
To the best of my knowledge there isn't such a rule. It applies in a lot of situations, but there isn't something that you can use to predict in advance when it will and won't apply. Basically you check any given scenario and say "it worked" or not. It is really just a heuristic.
 
  • Like
Likes   Reactions: WWGD
My experience/belief is the same as Dale's
 
  • Like
Likes   Reactions: WWGD

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 23 ·
Replies
23
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 10 ·
Replies
10
Views
1K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K